| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0598454 |
| utime |
20241010092916.6 |
| mtime |
20240923235959.9 |
| title
(primary) (eng) |
Uncovering Relationships using Bayesian Networks: A Case Study on Conspiracy Theories |
| specification |
| page_count |
16 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0599192 |
| ISSN |
Proceedings of Machine Learning Research, Volume 246 : International Conference on Probabilistic Graphical Models |
| title
|
Proceedings of Machine Learning Research, Volume 246 : International Conference on Probabilistic Graphical Models |
| page_num |
470-485 |
| publisher |
| place |
Almerı́a |
| name |
PMLR |
| year |
2024 |
|
|
| keyword |
Bayesian Networks |
| keyword |
Data Analysis |
| keyword |
Structural Learning of Bayesian Networks |
| keyword |
Actively Open-minded Thinking |
| keyword |
Conspiracy Theories |
| author
(primary) |
| ARLID |
cav_un_auth*0101228 |
| name1 |
Vomlel |
| name2 |
Jiří |
| institution |
UTIA-B |
| full_dept (cz) |
Matematická teorie rozhodování |
| full_dept (eng) |
Department of Decision Making Theory |
| department (cz) |
MTR |
| department (eng) |
MTR |
| full_dept |
Department of Decision Making Theory |
| share |
55 |
| garant |
K |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0016442 |
| name1 |
Kuběna |
| name2 |
A. |
| country |
CZ |
| share |
15 |
|
| author
|
| ARLID |
cav_un_auth*0101206 |
| name1 |
Šmíd |
| name2 |
Martin |
| institution |
UTIA-B |
| full_dept (cz) |
Ekonometrie |
| full_dept |
Department of Econometrics |
| department (cz) |
E |
| department |
E |
| full_dept |
Department of Econometrics |
| share |
15 |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0471876 |
| name1 |
Weinerová |
| name2 |
J. |
| country |
GB |
| share |
15 |
|
| source |
|
| source |
|
| cas_special |
| project |
| project_id |
CZ.02.01.01/00/22 008/0004595 |
| agency |
Ministerstvo školství, mládeže a tělovýchovy - GA MŠk |
| country |
CZ |
| ARLID |
cav_un_auth*0473001 |
|
| abstract
(eng) |
Bayesian networks (BNs) represent a probabilistic model that can visualize relationships between variables. We apply various BN structure learning algorithms to a large dataset from a Czech university entrance exam. This dataset includes a test of active, open-minded thinking designed by Jonathan Baron, as well as a test of students’ attitudes toward various conspiracies. Using BNs, we were able to identify the structure of the conspiracies and their relationships with active open-minded thinking. We also compared results of different BN structure learning algorithms with results of selected standard data analysis methods. |
| action |
| ARLID |
cav_un_auth*0473000 |
| name |
International Conference on Probabilistic Graphical Models 2024 /12./ |
| dates |
20240911 |
| place |
Nijmegen |
| country |
NL |
| mrcbC20-s |
20240913 |
|
| RIV |
BB |
| FORD0 |
50000 |
| FORD1 |
50400 |
| FORD2 |
50401 |
| reportyear |
2025 |
| num_of_auth |
4 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
https://hdl.handle.net/11104/0356715 |
| cooperation |
| ARLID |
cav_un_auth*0295413 |
| name |
Univerzita Karlova v Praze, Filozofická fakulta (CZ) |
| institution |
FF UK |
| country |
CZ |
|
| confidential |
S |
| arlyear |
2024 |
| mrcbU02 |
C |
| mrcbU14 |
SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
WOS |
| mrcbU56 |
online 666 kB |
| mrcbU63 |
cav_un_epca*0599192 Proceedings of Machine Learning Research, Volume 246 : International Conference on Probabilistic Graphical Models 2640-3498 470 485 Almerı́a PMLR 2024 |
|